Matches in SemOpenAlex for { <https://semopenalex.org/work/W2110364061> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2110364061 abstract "We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead field and temporal basis functions with unknown coefficients. Temporal basis functions are in turn estimated from data. The first algorithm models activity outside the voxel of interest by a full-rank covariance matrix and estimates unknowns by maximizing the likelihood. The second algorithm parameterizes activity outside the voxel of interest as a linear mixture of a set of unknown Gaussian factors plus Gaussian sensor noise and estimates all unknown quantities using an expectation-maximization (EM) algorithm. In both cases, the source image map is the likelihood of a dipole source at each voxel. Performance in simulations and real data demonstrate significant improvement over existing source localization methods." @default.
- W2110364061 created "2016-06-24" @default.
- W2110364061 creator A5018858477 @default.
- W2110364061 creator A5035006868 @default.
- W2110364061 creator A5081199415 @default.
- W2110364061 creator A5090386924 @default.
- W2110364061 date "2006-05-25" @default.
- W2110364061 modified "2023-09-27" @default.
- W2110364061 title "Two Probabilistic Algorithms for MEG/EEG Source Reconstruction" @default.
- W2110364061 cites W1987333243 @default.
- W2110364061 cites W1992776590 @default.
- W2110364061 cites W2102579121 @default.
- W2110364061 cites W2161465752 @default.
- W2110364061 cites W2415927983 @default.
- W2110364061 doi "https://doi.org/10.1109/isbi.2006.1625074" @default.
- W2110364061 hasPublicationYear "2006" @default.
- W2110364061 type Work @default.
- W2110364061 sameAs 2110364061 @default.
- W2110364061 citedByCount "2" @default.
- W2110364061 countsByYear W21103640612012 @default.
- W2110364061 countsByYear W21103640612013 @default.
- W2110364061 crossrefType "proceedings-article" @default.
- W2110364061 hasAuthorship W2110364061A5018858477 @default.
- W2110364061 hasAuthorship W2110364061A5035006868 @default.
- W2110364061 hasAuthorship W2110364061A5081199415 @default.
- W2110364061 hasAuthorship W2110364061A5090386924 @default.
- W2110364061 hasConcept C105795698 @default.
- W2110364061 hasConcept C11413529 @default.
- W2110364061 hasConcept C115961682 @default.
- W2110364061 hasConcept C121332964 @default.
- W2110364061 hasConcept C12426560 @default.
- W2110364061 hasConcept C134306372 @default.
- W2110364061 hasConcept C153180895 @default.
- W2110364061 hasConcept C154945302 @default.
- W2110364061 hasConcept C163716315 @default.
- W2110364061 hasConcept C178650346 @default.
- W2110364061 hasConcept C182081679 @default.
- W2110364061 hasConcept C185142706 @default.
- W2110364061 hasConcept C2524010 @default.
- W2110364061 hasConcept C33923547 @default.
- W2110364061 hasConcept C41008148 @default.
- W2110364061 hasConcept C49781872 @default.
- W2110364061 hasConcept C49937458 @default.
- W2110364061 hasConcept C54170458 @default.
- W2110364061 hasConcept C58489278 @default.
- W2110364061 hasConcept C5917680 @default.
- W2110364061 hasConcept C62520636 @default.
- W2110364061 hasConcept C99498987 @default.
- W2110364061 hasConceptScore W2110364061C105795698 @default.
- W2110364061 hasConceptScore W2110364061C11413529 @default.
- W2110364061 hasConceptScore W2110364061C115961682 @default.
- W2110364061 hasConceptScore W2110364061C121332964 @default.
- W2110364061 hasConceptScore W2110364061C12426560 @default.
- W2110364061 hasConceptScore W2110364061C134306372 @default.
- W2110364061 hasConceptScore W2110364061C153180895 @default.
- W2110364061 hasConceptScore W2110364061C154945302 @default.
- W2110364061 hasConceptScore W2110364061C163716315 @default.
- W2110364061 hasConceptScore W2110364061C178650346 @default.
- W2110364061 hasConceptScore W2110364061C182081679 @default.
- W2110364061 hasConceptScore W2110364061C185142706 @default.
- W2110364061 hasConceptScore W2110364061C2524010 @default.
- W2110364061 hasConceptScore W2110364061C33923547 @default.
- W2110364061 hasConceptScore W2110364061C41008148 @default.
- W2110364061 hasConceptScore W2110364061C49781872 @default.
- W2110364061 hasConceptScore W2110364061C49937458 @default.
- W2110364061 hasConceptScore W2110364061C54170458 @default.
- W2110364061 hasConceptScore W2110364061C58489278 @default.
- W2110364061 hasConceptScore W2110364061C5917680 @default.
- W2110364061 hasConceptScore W2110364061C62520636 @default.
- W2110364061 hasConceptScore W2110364061C99498987 @default.
- W2110364061 hasLocation W21103640611 @default.
- W2110364061 hasOpenAccess W2110364061 @default.
- W2110364061 hasPrimaryLocation W21103640611 @default.
- W2110364061 hasRelatedWork W1482721290 @default.
- W2110364061 hasRelatedWork W1515208203 @default.
- W2110364061 hasRelatedWork W1576263545 @default.
- W2110364061 hasRelatedWork W1695742566 @default.
- W2110364061 hasRelatedWork W1923133985 @default.
- W2110364061 hasRelatedWork W1965572970 @default.
- W2110364061 hasRelatedWork W1985035806 @default.
- W2110364061 hasRelatedWork W1998686189 @default.
- W2110364061 hasRelatedWork W2006277404 @default.
- W2110364061 hasRelatedWork W2044118673 @default.
- W2110364061 hasRelatedWork W2092966449 @default.
- W2110364061 hasRelatedWork W2116168274 @default.
- W2110364061 hasRelatedWork W2153692199 @default.
- W2110364061 hasRelatedWork W2263231709 @default.
- W2110364061 hasRelatedWork W2276018818 @default.
- W2110364061 hasRelatedWork W2292773368 @default.
- W2110364061 hasRelatedWork W2294846664 @default.
- W2110364061 hasRelatedWork W2540286985 @default.
- W2110364061 hasRelatedWork W2907335215 @default.
- W2110364061 hasRelatedWork W933163513 @default.
- W2110364061 isParatext "false" @default.
- W2110364061 isRetracted "false" @default.
- W2110364061 magId "2110364061" @default.
- W2110364061 workType "article" @default.